Senior Data Analytics and Visualization Engineer (EPAM SISTEMOS, UAB)
Darbdavys: EPAM SISTEMOS, UAB
Miestas: Kaunas
Paskelbta: 2026-10-15
💶 3600 - 5500 €/mėn. Prieš mokesčius · visa darbo diena · nuotolinis darbas: hibridinis · paskelbta 2026-10-02
Kandidatuoti šaltinyje (cv.lt) →
Job description:
We are looking for a Senior Data Analytics and Visualization Engineer passionate about data to extend our team of professionals. In this role, you will work with clients from various business domains 6 Finance, Telecom, Media, Insurance, Oil&Gas, Pharma and others.
This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas.
Build advanced-level dashboards and reports
Communicate with the Product owner, gather requirements and conduct demo sessions
Design and build data models, conduct data preparation and profiling
Perform detailed analysis of business problems and technical environments
Manage security and administrate the reporting environment
Participate in architecture and testing processes to ensure they meet best practice specifications
Requirements:
5+ years of practical experience with one of the reporting tools 6 Power BI, Tableau
Programming languages: Python
Proficiency in Data Analytics and Data Visualization concepts
Skills in developing reports and dashboards
Advanced SQL knowledge and background in relational databases such as MS SQL Server, Oracle, MySQL, and PostgreSQL
Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart)
Practical hands-on experience in developing Data Analytics/Visualization Solutions in Cloud environments (AWS, Azure, GCP) - designing, implementing, deploying, and monitoring
Expertise in data products testing
Ability to work in an agile development environment (SCRUM, Kanban)
Understanding of CI/CD principles and best practices
English level 6 Upper-Intermediate and higher
Company offers:
Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more
We are looking for a Senior Data Analytics and Visualization Engineer passionate about data to extend our team of professionals. In this role, you will work with clients from various business domains 6 Finance, Telecom, Media, Insurance, Oil&Gas, Pharma and others.
This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas.
Build advanced-level dashboards and reports
Communicate with the Product owner, gather requirements and conduct demo sessions
Design and build data models, conduct data preparation and profiling
Perform detailed analysis of business problems and technical environments
Manage security and administrate the reporting environment
Participate in architecture and testing processes to ensure they meet best practice specifications
Requirements:
5+ years of practical experience with one of the reporting tools 6 Power BI, Tableau
Programming languages: Python
Proficiency in Data Analytics and Data Visualization concepts
Skills in developing reports and dashboards
Advanced SQL knowledge and background in relational databases such as MS SQL Server, Oracle, MySQL, and PostgreSQL
Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart)
Practical hands-on experience in developing Data Analytics/Visualization Solutions in Cloud environments (AWS, Azure, GCP) - designing, implementing, deploying, and monitoring
Expertise in data products testing
Ability to work in an agile development environment (SCRUM, Kanban)
Understanding of CI/CD principles and best practices
English level 6 Upper-Intermediate and higher
Company offers:
Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more